Our leadership team's scorecard is technically functional, but it contains a fifty-fifty mix of leading and lagging indicators. Is there a target ratio of leading to lagging metrics we should maintain to run a truly predictive operation?

Question

Tyler Smith · Accepted Answer

While there is no rigid mathematical formula, a highly predictive scorecard should skew heavily toward leading indicators, ideally maintaining an eighty-twenty ratio. Lagging indicators like monthly revenue, net profit, and completed projects are historical records. They tell you what happened last month, which is useless for steering the business in real time.

Leading indicators are activities that predict those lagging results. For example, if you want to ensure predictable revenue next quarter, you must track the number of new discovery calls scheduled this week.

To audit your current scorecard, look at every single metric and ask: if this number turns red today, do we still have time to change the outcome? If the answer is no, it is a lagging indicator. If the answer is yes, it is a leading indicator. You still need a few lagging indicators on your scorecard to ensure your leading activities are actually translating into bottom-line results.

But if your scorecard is fifty-fifty, you are spending half your time driving by looking in the rearview mirror. To prepare your business for a clean exit, you must prove to buyers that your operations run on predictive data. Shift the weight of your scorecard to activity-based leading metrics so you can spot bottlenecks and adjust resources weeks before they impact your bank account.